R/getAdpAav.R
In dadrivr/ffanalytics: Fantasy Football Analytics
#' ADP data from FantasyFootballCalculator.com
#'
#' Retrieve ADP data from fantasyfootballcalculator.com.
#' @param format Format of league. Can be one of \code{"standard", "ppr", "2qb", "dynasty", "rookie"}.
#' @param teams Numer of teams in the league. One of 8, 10, 12, 14
#' @return \link[data.table]{data.table} with 5 columns:
#' \describe{
#' \item{player}{Name of player}
#' \item{position}{Player position}
#' \item{team}{Team the player is playing for}
#' \item{adp}{Average ADP}
#' \item{leagueType}{Chosen format for the league}}
#' @export getFFCValues
getFFCValues <- function(format = "standard", teams = 12){
ffcFile <- url(paste("https://fantasyfootballcalculator.com/adp_csv.php?format=",
format, "&teams=", teams, sep = ""), open = "rt")
ffcTbl <- data.table::data.table(read.csv(ffcFile, skip = 4, stringsAsFactors = FALSE))
close(ffcFile)
ffcTbl[, Name := getPlayerName(Name)]
ffcTbl[Position == "PK", Position := "K"]
ffcTbl[Position == "DEF", Position := "DST"]
ffcTbl[, ADP := NULL]
data.table::setnames(ffcTbl, c("Overall", "Name", "Position", "Team"),
c("adp", "player", "position", "team"))
ffcTbl[, leagueType := ifelse(format == "standard", "std", format)]
return(ffcTbl[!is.na(adp), c("player", "position", "team", "adp", "leagueType"), with = FALSE])
}
#' ADP and auction value data from ESPN
#'
#' Retrieve ADP and auction value from ESPN
#' @return \link[data.table]{data.table} with 6 columns:
#' \describe{
#' \item{player}{Name of player}
#' \item{position}{Player position}
#' \item{team}{Team the player is playing for}
#' \item{adp}{Average ADP}
#' \item{aav}{Average auction value}
#' \item{leagueType}{Assuming standard league type}}
#' @export getESPNValues
getESPNValues <- function(){
espnPos <- c("QB", "RB", "WR", "TE", "K", "D/ST", "DT", "DE", "CB", "S", "LB")
espnData <- lapply(espnPos, function(p){
espnUrl <-paste("http://games.espn.go.com/ffl/livedraftresults?position=", p, sep ="")
espnTbl <- data.table::data.table(XML::readHTMLTable(espnUrl, which = 2,
skip.rows=c(1,2), stringsAsFactors = FALSE))
emptyTbl <- data.table(rank = NA)
emptyTbl[, c("rank", "player", "position", "team", "adp", "snake7day", "aav",
"value7day", "pctOwn", "leagueType") := NA]
emptyTbl[, c("player", "position", "team") := as.character(NA)]
if(nrow(espnTbl) <= 1)
return(emptyTbl[0])
data.table::setnames(espnTbl, c(1:8), c("rank", "player", "position", "adp",
"snake7day", "aav", "value7day", "pctOwn"))
espnTbl$team <- extractTeam(espnTbl$player, "espn")
if(!exists("team", espnTbl)){
espnTbl$team <- ""
}
espnTbl[, player := getPlayerName(encodeString(player))]
espnTbl <- espnTbl[!is.na(player)]
espnTbl[position == "D/ST", position := "DST"]
espnTbl[position %in% c("DT", "DE") , position := "DL"]
espnTbl[position %in% c("CB", "S") , position := "DB"]
espnTbl[, leagueType := "std"]
return(espnTbl)
})
espnData <- data.table::rbindlist(espnData, fill = TRUE)
if(any(espnData$position == "DST") & nrow(espnData) > 0){
espnData[position == "DST", team := nflTeam.abb[nflTeam.name == player], by = "player"]
}
return(espnData[,c("player", "position", "team", "adp","aav", "leagueType"), with = FALSE])
}
#' ADP data from CBS
#'
#' Retrieve ADP data from CBS
#' @return \link[data.table]{data.table} with 3 columns:
#' \describe{
#' \item{cbsId}{Player ID from CBS. Merge with results from \link{getPlayerData}
#' to get player names}
#' \item{adp}{Average ADP}
#' \item{leagueType}{Assuming standard league type}}
#' @export getCBSValues
getCBSValues <-function(){
cbsURL <- RCurl::getURL("https://www.cbssports.com/fantasy/football/draft/averages?&print_rows=9999")
cbsVal <- data.table::data.table(XML::readHTMLTable(cbsURL, which = 1, stringsAsFactors = FALSE, skip.rows = 1))
pgeLinks <- XML::getHTMLLinks(cbsURL)
pId <- as.numeric(unique(gsub("[^0-9]", "", pgeLinks[grep("/fantasy/football/players/[0-9]{3,6}", pgeLinks)])))
data.table::setnames(cbsVal, c(1:5), c("rank", "player", "adp", "HiLo", "pctOwn"))
cbsVal <- cbsVal[!is.na(player)]
cbsVal[, player := getPlayerName(player)]
cbsVal[, cbsId := pId]
cbsVal[, leagueType := "std"]
cbsVal <- cbsVal[, c("cbsId", "adp", "leagueType"), with = FALSE]
return(cbsVal)
}
#' ADP data from FantasyFootballCalculator.com
#'
#' Retrieve ADP data from fantasyfootballcalculator.com.
#' @return \link[data.table]{data.table} with 5 columns:
#' \describe{
#' \item{esbid}{Player ID for the player. Merge with results from \link{getPlayerData}
#' to get player names}
#' \item{player}{Name of player}
#' \item{position}{Player position}
#' \item{adp}{Average ADP}
#' \item{aav}{Average auction value}
#' }
#' @export getNFLValues
getNFLValues <- function(){
pCount <- 0
nflTable <- data.table::data.table(esbid = as.character(),
gsisPlayerId = as.character(),
firstName = as.character(),
lastName = as.character(),
rank = as.numeric(),
aav = as.numeric(),
position = as.character())
repeat{
nflUrl <- paste0("http://api.fantasy.nfl.com/v1/players/userdraftranks?offset=",
pCount,"&count=100")
nfldata <- XML::xmlToList(nflUrl)
if(!any(names(nfldata) == "player"))
break
nfldata <- nfldata[!(names(nfldata) == ".attrs")]
nfldata <- data.table::rbindlist(lapply(nfldata, function(pl)data.table::as.data.table(as.list(pl))))
nflTable <- data.table::rbindlist(list(nflTable, nfldata))
pCount <- pCount + 100
}
nflTable[, player := getPlayerName(paste(firstName, lastName))]
data.table::setnames(nflTable, "rank", "adp")
nflTable[position == "DEF", position := "DST"]
return(nflTable[, c("esbid", "player", "position", "adp", "aav"), with = FALSE])
}
#' ADP and auction value data from Yahoo
#'
#' Retrieve ADP and auction value data from Yahoo
#' @param type Draft type: AD for auction draft, SD for standard draft.
#' @return \link[data.table]{data.table} with 3 columns:
#' \describe{
#' \item{cbsId}{Player ID from CBS. Merge with results from \link{getPlayerData}
#' to get player names}
#' \item{adp/aav}{Average ADP if type = "SD"; Average auction value if type = "AD"}
#' \item{leagueType}{Assuming standard league type}}
#' @export getYahooValues
getYahooValues <- function(type = "SD"){
if(type == "SD"){
yahooPos <- list(QB = c(0), RB = c(0), WR =c(0,50), TE = c(0), K = c(0), DST = c(0))
}
if(type == "AD"){
yahooPos <- list(QB = c(0, 50, 100), RB = seq(0, 200, 50), WR =seq(0, 350, 50), TE = seq(0, 200, 50), K = c(0, 50), DST = c(0))
}
yahooDataUrls <- lapply(names(yahooPos), function(pos){
yahooUrl <- paste("http://football.fantasysports.yahoo.com/f1/draftanalysis?tab=", type, "&pos=", pos, "&sort=DA_AP&count=", sep = "")
yahooPgs <- lapply(yahooPos[[pos]], function(pg)data.table::data.table(url = paste(yahooUrl, pg, sep = "")))
if(length(yahooPgs) > 1){
yahooPgs <- data.table::rbindlist(yahooPgs)
}
else{
yahooPgs <- yahooPgs[[1]]
}
yahooPgs[, position := pos]
return(yahooPgs)
})
yahooDataUrls <- data.table::rbindlist(yahooDataUrls)
yahooData <- apply(yahooDataUrls, 1, function(u){
page <- RCurl::getURL(u["url"], .opts=RCurl::curlOptions(followlocation=TRUE))
data <- data.table::data.table(XML::readHTMLTable(page, stringsAsFactors = FALSE)$draftanalysistable)
pgeLinks <- XML::getHTMLLinks(page)
yahooId <- as.numeric(unique(gsub("[^0-9]", "",
pgeLinks[grep("https?://sports.yahoo.com/nfl/players/[0-9]{3,6}", pgeLinks)])))
if(nrow(data) > 0){
data[, position := u["position"]]
data <- data.table::data.table(yahooId, data)
return(data)
}
})
yahooData <- data.table::rbindlist(yahooData)
if(type == "SD"){
data.table::setnames(yahooData, c("yahooId", "player", "adp", "avgRound", "pctDraft", "position"))
}
if(type == "AD"){
data.table::setnames(yahooData, c("yahooId", "player", "projValue", "aav", "pctDraft", "position"))
yahooData[, projValue := as.numeric(gsub("$", "", projValue, fixed = TRUE))]
yahooData[, aav := as.numeric(gsub("$", "", aav, fixed = TRUE))]
}
yahooData[, leagueType := "std"]
return(yahooData[,c("yahooId", ifelse(type == "SD", "adp", "aav"), "leagueType"), with = FALSE])
}
#' ADP and auction value data from MyFantasyLeague.com
#'
#' Retrieve ADP and auction value data from MyFantasyLeague.com
#' @param season Year the data is retrieved for
#' @param type One of "adp" or "aav" to indicate whether ADP or auction values
#' should be retrieved.
#' @param teams Number of teams. If specified only drafts with that number of
#' teams will be include
#' @param ppr Specify if only ppr or non-ppr drafts should be considered. Set to 1
#' if only ppr drafts should be used, 0 if only standard drafts should be used.
#' If not specified all types of draft will be used.
#' @param mock Specify if only mock or real drafts should be used. Set to 1 if
#' only mock drafts should be used, 0 if only real drafts should be used. If not
#' speficied all types of drafts will be used.
#' @param keeper Specify to select what types of leagues should be used. Set to 0
#' to use redraft leagues only; 1 to only use keeper leagues, 2 for rookie drafts,
#' and 3 for MFL Public Leagues. If not speficied all types of drafts will be used.
#' @return \link[data.table]{data.table} wih up to 5 columns:
#' \describe{
#' \item{mflId}{Player ID from MFL Merge with results from \link{getPlayerData}
#' to get player names}
#' \item{selectedIn}{Number of drafts player has been selected in}
#' \item{aav}{Average auction value}
#' \item{adp}{ADP}
#' \item{minPick}{Earliest pick}
#' \item{maxPick}{Latest pick}
#' }
#' @export getMFLValues
getMFLValues <- function(season = as.POSIXlt(Sys.Date())$year + 1900,
type = "adp", teams = -1, ppr = -1, mock = -1, keeper = -1){
url_list <- list(scheme = "http",
hostname = "www03.myfantasyleague.com",
path = paste(season, "export", sep = "/"),
query = list(TYPE = type, FRANCHISES = teams, IS_PPR = ppr,
IS_MOCK = mock, IS_KEEPER = keeper))
attr(url_list, "class") <- "url"
if(teams == -1)
url_list$query$FRANCHISES <- NULL
if(ppr == -1)
url_list$query$IS_PPR <- NULL
if(mock == -1)
url_list$query$IS_MOCK <- NULL
if(keeper == -1)
url_list$query$IS_KEEPER <- NULL
mfl_url <- httr::build_url(url_list)
MFL_adp <- XML::xmlToList(mfl_url)
MFL_adp <- data.table::rbindlist(lapply(MFL_adp[names(MFL_adp) == "player"],
function(plList)data.table::as.data.table(as.list(plList))))
if(exists("id", MFL_adp))
data.table::setnames(MFL_adp, "id", "mflId")
if(exists("draftsSelectedIn", MFL_adp))
data.table::setnames(MFL_adp, "draftsSelectedIn", "selectedIn")
if(exists("auctionsSelectedIn", MFL_adp))
data.table::setnames(MFL_adp, "auctionsSelectedIn", "selectedIn")
if(exists("averageValue", MFL_adp))
data.table::setnames(MFL_adp, "averageValue", "aav")
if(exists("averagePick", MFL_adp))
data.table::setnames(MFL_adp, "averagePick", "adp")
if(length(MFL_adp) == 0){
MFL_adp <- data.table::data.table(mflId = NA, value = NA)[0]
data.table::setnames(MFL_adp, "value", type)
}
return(MFL_adp)
}
#' @export getYahooDraftData
getYahooDraftData <- function(season, league){
league.key <- getItemKey(season, league, "league")
start.num <- 0
draftTable <- data.table::data.table(yahooId = as.numeric(),
adp = as.numeric(), avgRd = as.numeric(),
aav = as.numeric(), pctDraft = as.numeric())
repeat{
draft.query <- list(start = start.num)
draftUrl <- apiUrl(resource = "league", resourceId = league.key,
subResource = "players/draft_analysis",
queryParams = draft.query)
draftData <- tryCatch(callAPI(draftUrl),
error = function(e)return(draftTable))
if(length(draftData$league[[2]]$players) == 0)
break
draft.data <- draftData$league[[2]]$players
draft.data <- draft.data[!(names(draft.data) == "count")]
draftInfo <- data.table::rbindlist(
lapply(draft.data, function(pl){
playerInfo <- as.numeric(unlist(pl[["player"]][[2]][["draft_analysis"]]))
playerInfo <- data.table::as.data.table(t(playerInfo))
data.table::setnames(playerInfo, c("average_pick", "average_round",
"average_cost", "percent_drafted"))
playerInfo[, yahooId := as.numeric(pl[["player"]][[1]][[2]][["player_id"]])]
return(playerInfo)
}), fill = TRUE
)
data.table::setnames(draftInfo, c("average_pick", "average_round",
"average_cost", "percent_drafted"),
c("adp", "avgRd", "aav", "pctDraft"))
draftTable <- data.table::rbindlist(list(draftTable, draftInfo), fill = TRUE)
start.num <- start.num + 25
}
draftTable <- draftTable[!is.na(adp) & !is.na(aav)]
return(draftTable[order(adp)])
}
dadrivr/ffanalytics documentation built on May 14, 2019, 3:12 p.m.
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#' ADP data from FantasyFootballCalculator.com
#'
#' Retrieve ADP data from fantasyfootballcalculator.com.
#' @param format Format of league. Can be one of \code{"standard", "ppr", "2qb", "dynasty", "rookie"}.
#' @param teams Numer of teams in the league. One of 8, 10, 12, 14
#' @return \link[data.table]{data.table} with 5 columns:
#' \describe{
#' \item{player}{Name of player}
#' \item{position}{Player position}
#' \item{team}{Team the player is playing for}
#' \item{adp}{Average ADP}
#' \item{leagueType}{Chosen format for the league}}
#' @export getFFCValues
getFFCValues <- function(format = "standard", teams = 12){
ffcFile <- url(paste("https://fantasyfootballcalculator.com/adp_csv.php?format=",
format, "&teams=", teams, sep = ""), open = "rt")
ffcTbl <- data.table::data.table(read.csv(ffcFile, skip = 4, stringsAsFactors = FALSE))
close(ffcFile)
ffcTbl[, Name := getPlayerName(Name)]
ffcTbl[Position == "PK", Position := "K"]
ffcTbl[Position == "DEF", Position := "DST"]
ffcTbl[, ADP := NULL]
data.table::setnames(ffcTbl, c("Overall", "Name", "Position", "Team"),
c("adp", "player", "position", "team"))
ffcTbl[, leagueType := ifelse(format == "standard", "std", format)]
return(ffcTbl[!is.na(adp), c("player", "position", "team", "adp", "leagueType"), with = FALSE])
}
#' ADP and auction value data from ESPN
#'
#' Retrieve ADP and auction value from ESPN
#' @return \link[data.table]{data.table} with 6 columns:
#' \describe{
#' \item{player}{Name of player}
#' \item{position}{Player position}
#' \item{team}{Team the player is playing for}
#' \item{adp}{Average ADP}
#' \item{aav}{Average auction value}
#' \item{leagueType}{Assuming standard league type}}
#' @export getESPNValues
getESPNValues <- function(){
espnPos <- c("QB", "RB", "WR", "TE", "K", "D/ST", "DT", "DE", "CB", "S", "LB")
espnData <- lapply(espnPos, function(p){
espnUrl <-paste("http://games.espn.go.com/ffl/livedraftresults?position=", p, sep ="")
espnTbl <- data.table::data.table(XML::readHTMLTable(espnUrl, which = 2,
skip.rows=c(1,2), stringsAsFactors = FALSE))
emptyTbl <- data.table(rank = NA)
emptyTbl[, c("rank", "player", "position", "team", "adp", "snake7day", "aav",
"value7day", "pctOwn", "leagueType") := NA]
emptyTbl[, c("player", "position", "team") := as.character(NA)]
if(nrow(espnTbl) <= 1)
return(emptyTbl[0])
data.table::setnames(espnTbl, c(1:8), c("rank", "player", "position", "adp",
"snake7day", "aav", "value7day", "pctOwn"))
espnTbl$team <- extractTeam(espnTbl$player, "espn")
if(!exists("team", espnTbl)){
espnTbl$team <- ""
}
espnTbl[, player := getPlayerName(encodeString(player))]
espnTbl <- espnTbl[!is.na(player)]
espnTbl[position == "D/ST", position := "DST"]
espnTbl[position %in% c("DT", "DE") , position := "DL"]
espnTbl[position %in% c("CB", "S") , position := "DB"]
espnTbl[, leagueType := "std"]
return(espnTbl)
})
espnData <- data.table::rbindlist(espnData, fill = TRUE)
if(any(espnData$position == "DST") & nrow(espnData) > 0){
espnData[position == "DST", team := nflTeam.abb[nflTeam.name == player], by = "player"]
}
return(espnData[,c("player", "position", "team", "adp","aav", "leagueType"), with = FALSE])
}
#' ADP data from CBS
#'
#' Retrieve ADP data from CBS
#' @return \link[data.table]{data.table} with 3 columns:
#' \describe{
#' \item{cbsId}{Player ID from CBS. Merge with results from \link{getPlayerData}
#' to get player names}
#' \item{adp}{Average ADP}
#' \item{leagueType}{Assuming standard league type}}
#' @export getCBSValues
getCBSValues <-function(){
cbsURL <- RCurl::getURL("https://www.cbssports.com/fantasy/football/draft/averages?&print_rows=9999")
cbsVal <- data.table::data.table(XML::readHTMLTable(cbsURL, which = 1, stringsAsFactors = FALSE, skip.rows = 1))
pgeLinks <- XML::getHTMLLinks(cbsURL)
pId <- as.numeric(unique(gsub("[^0-9]", "", pgeLinks[grep("/fantasy/football/players/[0-9]{3,6}", pgeLinks)])))
data.table::setnames(cbsVal, c(1:5), c("rank", "player", "adp", "HiLo", "pctOwn"))
cbsVal <- cbsVal[!is.na(player)]
cbsVal[, player := getPlayerName(player)]
cbsVal[, cbsId := pId]
cbsVal[, leagueType := "std"]
cbsVal <- cbsVal[, c("cbsId", "adp", "leagueType"), with = FALSE]
return(cbsVal)
}
#' ADP data from FantasyFootballCalculator.com
#'
#' Retrieve ADP data from fantasyfootballcalculator.com.
#' @return \link[data.table]{data.table} with 5 columns:
#' \describe{
#' \item{esbid}{Player ID for the player. Merge with results from \link{getPlayerData}
#' to get player names}
#' \item{player}{Name of player}
#' \item{position}{Player position}
#' \item{adp}{Average ADP}
#' \item{aav}{Average auction value}
#' }
#' @export getNFLValues
getNFLValues <- function(){
pCount <- 0
nflTable <- data.table::data.table(esbid = as.character(),
gsisPlayerId = as.character(),
firstName = as.character(),
lastName = as.character(),
rank = as.numeric(),
aav = as.numeric(),
position = as.character())
repeat{
nflUrl <- paste0("http://api.fantasy.nfl.com/v1/players/userdraftranks?offset=",
pCount,"&count=100")
nfldata <- XML::xmlToList(nflUrl)
if(!any(names(nfldata) == "player"))
break
nfldata <- nfldata[!(names(nfldata) == ".attrs")]
nfldata <- data.table::rbindlist(lapply(nfldata, function(pl)data.table::as.data.table(as.list(pl))))
nflTable <- data.table::rbindlist(list(nflTable, nfldata))
pCount <- pCount + 100
}
nflTable[, player := getPlayerName(paste(firstName, lastName))]
data.table::setnames(nflTable, "rank", "adp")
nflTable[position == "DEF", position := "DST"]
return(nflTable[, c("esbid", "player", "position", "adp", "aav"), with = FALSE])
}
#' ADP and auction value data from Yahoo
#'
#' Retrieve ADP and auction value data from Yahoo
#' @param type Draft type: AD for auction draft, SD for standard draft.
#' @return \link[data.table]{data.table} with 3 columns:
#' \describe{
#' \item{cbsId}{Player ID from CBS. Merge with results from \link{getPlayerData}
#' to get player names}
#' \item{adp/aav}{Average ADP if type = "SD"; Average auction value if type = "AD"}
#' \item{leagueType}{Assuming standard league type}}
#' @export getYahooValues
getYahooValues <- function(type = "SD"){
if(type == "SD"){
yahooPos <- list(QB = c(0), RB = c(0), WR =c(0,50), TE = c(0), K = c(0), DST = c(0))
}
if(type == "AD"){
yahooPos <- list(QB = c(0, 50, 100), RB = seq(0, 200, 50), WR =seq(0, 350, 50), TE = seq(0, 200, 50), K = c(0, 50), DST = c(0))
}
yahooDataUrls <- lapply(names(yahooPos), function(pos){
yahooUrl <- paste("http://football.fantasysports.yahoo.com/f1/draftanalysis?tab=", type, "&pos=", pos, "&sort=DA_AP&count=", sep = "")
yahooPgs <- lapply(yahooPos[[pos]], function(pg)data.table::data.table(url = paste(yahooUrl, pg, sep = "")))
if(length(yahooPgs) > 1){
yahooPgs <- data.table::rbindlist(yahooPgs)
}
else{
yahooPgs <- yahooPgs[[1]]
}
yahooPgs[, position := pos]
return(yahooPgs)
})
yahooDataUrls <- data.table::rbindlist(yahooDataUrls)
yahooData <- apply(yahooDataUrls, 1, function(u){
page <- RCurl::getURL(u["url"], .opts=RCurl::curlOptions(followlocation=TRUE))
data <- data.table::data.table(XML::readHTMLTable(page, stringsAsFactors = FALSE)$draftanalysistable)
pgeLinks <- XML::getHTMLLinks(page)
yahooId <- as.numeric(unique(gsub("[^0-9]", "",
pgeLinks[grep("https?://sports.yahoo.com/nfl/players/[0-9]{3,6}", pgeLinks)])))
if(nrow(data) > 0){
data[, position := u["position"]]
data <- data.table::data.table(yahooId, data)
return(data)
}
})
yahooData <- data.table::rbindlist(yahooData)
if(type == "SD"){
data.table::setnames(yahooData, c("yahooId", "player", "adp", "avgRound", "pctDraft", "position"))
}
if(type == "AD"){
data.table::setnames(yahooData, c("yahooId", "player", "projValue", "aav", "pctDraft", "position"))
yahooData[, projValue := as.numeric(gsub("$", "", projValue, fixed = TRUE))]
yahooData[, aav := as.numeric(gsub("$", "", aav, fixed = TRUE))]
}
yahooData[, leagueType := "std"]
return(yahooData[,c("yahooId", ifelse(type == "SD", "adp", "aav"), "leagueType"), with = FALSE])
}
#' ADP and auction value data from MyFantasyLeague.com
#'
#' Retrieve ADP and auction value data from MyFantasyLeague.com
#' @param season Year the data is retrieved for
#' @param type One of "adp" or "aav" to indicate whether ADP or auction values
#' should be retrieved.
#' @param teams Number of teams. If specified only drafts with that number of
#' teams will be include
#' @param ppr Specify if only ppr or non-ppr drafts should be considered. Set to 1
#' if only ppr drafts should be used, 0 if only standard drafts should be used.
#' If not specified all types of draft will be used.
#' @param mock Specify if only mock or real drafts should be used. Set to 1 if
#' only mock drafts should be used, 0 if only real drafts should be used. If not
#' speficied all types of drafts will be used.
#' @param keeper Specify to select what types of leagues should be used. Set to 0
#' to use redraft leagues only; 1 to only use keeper leagues, 2 for rookie drafts,
#' and 3 for MFL Public Leagues. If not speficied all types of drafts will be used.
#' @return \link[data.table]{data.table} wih up to 5 columns:
#' \describe{
#' \item{mflId}{Player ID from MFL Merge with results from \link{getPlayerData}
#' to get player names}
#' \item{selectedIn}{Number of drafts player has been selected in}
#' \item{aav}{Average auction value}
#' \item{adp}{ADP}
#' \item{minPick}{Earliest pick}
#' \item{maxPick}{Latest pick}
#' }
#' @export getMFLValues
getMFLValues <- function(season = as.POSIXlt(Sys.Date())$year + 1900,
type = "adp", teams = -1, ppr = -1, mock = -1, keeper = -1){
url_list <- list(scheme = "http",
hostname = "www03.myfantasyleague.com",
path = paste(season, "export", sep = "/"),
query = list(TYPE = type, FRANCHISES = teams, IS_PPR = ppr,
IS_MOCK = mock, IS_KEEPER = keeper))
attr(url_list, "class") <- "url"
if(teams == -1)
url_list$query$FRANCHISES <- NULL
if(ppr == -1)
url_list$query$IS_PPR <- NULL
if(mock == -1)
url_list$query$IS_MOCK <- NULL
if(keeper == -1)
url_list$query$IS_KEEPER <- NULL
mfl_url <- httr::build_url(url_list)
MFL_adp <- XML::xmlToList(mfl_url)
MFL_adp <- data.table::rbindlist(lapply(MFL_adp[names(MFL_adp) == "player"],
function(plList)data.table::as.data.table(as.list(plList))))
if(exists("id", MFL_adp))
data.table::setnames(MFL_adp, "id", "mflId")
if(exists("draftsSelectedIn", MFL_adp))
data.table::setnames(MFL_adp, "draftsSelectedIn", "selectedIn")
if(exists("auctionsSelectedIn", MFL_adp))
data.table::setnames(MFL_adp, "auctionsSelectedIn", "selectedIn")
if(exists("averageValue", MFL_adp))
data.table::setnames(MFL_adp, "averageValue", "aav")
if(exists("averagePick", MFL_adp))
data.table::setnames(MFL_adp, "averagePick", "adp")
if(length(MFL_adp) == 0){
MFL_adp <- data.table::data.table(mflId = NA, value = NA)[0]
data.table::setnames(MFL_adp, "value", type)
}
return(MFL_adp)
}
#' @export getYahooDraftData
getYahooDraftData <- function(season, league){
league.key <- getItemKey(season, league, "league")
start.num <- 0
draftTable <- data.table::data.table(yahooId = as.numeric(),
adp = as.numeric(), avgRd = as.numeric(),
aav = as.numeric(), pctDraft = as.numeric())
repeat{
draft.query <- list(start = start.num)
draftUrl <- apiUrl(resource = "league", resourceId = league.key,
subResource = "players/draft_analysis",
queryParams = draft.query)
draftData <- tryCatch(callAPI(draftUrl),
error = function(e)return(draftTable))
if(length(draftData$league[[2]]$players) == 0)
break
draft.data <- draftData$league[[2]]$players
draft.data <- draft.data[!(names(draft.data) == "count")]
draftInfo <- data.table::rbindlist(
lapply(draft.data, function(pl){
playerInfo <- as.numeric(unlist(pl[["player"]][[2]][["draft_analysis"]]))
playerInfo <- data.table::as.data.table(t(playerInfo))
data.table::setnames(playerInfo, c("average_pick", "average_round",
"average_cost", "percent_drafted"))
playerInfo[, yahooId := as.numeric(pl[["player"]][[1]][[2]][["player_id"]])]
return(playerInfo)
}), fill = TRUE
)
data.table::setnames(draftInfo, c("average_pick", "average_round",
"average_cost", "percent_drafted"),
c("adp", "avgRd", "aav", "pctDraft"))
draftTable <- data.table::rbindlist(list(draftTable, draftInfo), fill = TRUE)
start.num <- start.num + 25
}
draftTable <- draftTable[!is.na(adp) & !is.na(aav)]
return(draftTable[order(adp)])
}
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